Answer Capsule
Frase AI Tracking is a good fit for mid-market companies that want AI visibility monitoring bundled with SEO/GEO content production at self-serve pricing. Two of seven platforms named it during the ranking stage, at an average listed rank of 2.5 and a best rank of 2. The strongest reason to consider it is the combination of citation-level tracking, competitor share-of-voice benchmarking, buying-stage prompt classification, and an integrated content workflow starting at $39/month billed yearly. The main limitation is that public pricing and packaging are inconsistent: sources disagree on whether AI Visibility is included in every plan or sold as an add-on, and prompt quotas, historical retention, and overage rates are not clearly published.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (deepseek, kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.5 |
| Best listed rank | 2 |
| Relevant product/model/plan | Frase AI Visibility feature on paid plans; Starter from $39/mo billed yearly |
| Overall use-case fit | Good (five platforms rated good, one mixed, one uncertain) |
| Research date | 2026-09-19 |
Why Frase AI Tracking Qualified for This Study
Questions This Section Answers
- Why did Frase AI Tracking qualify for this mid-market AI visibility platform study?
- How many AI platforms named Frase AI Tracking during the ranking stage?
Frase AI Tracking qualified because two of the seven included platforms named it during ranking discovery, and every platform that evaluated it returned a substantive fit assessment rather than dismissing it. The ranking-stage mentions came from deepseek (rank 3) and kimi (rank 2), producing an average listed rank of 2.5 and a best listed rank of 2 [1]. Platform mentions count only platforms that named the entity during ranking discovery; all seven platforms evaluated fit, but only two surfaced it in the ranking stage.
The entity is a company-scoped software platform, and the relevant capability is the AI Visibility / AI Tracking feature inside paid Frase plans. Five of seven platforms rated the fit "good," one rated it "mixed," and one rated it "uncertain." That spread is itself informative: the disagreement is not about whether Frase tracks AI visibility, but about how much of the packaging is publicly verifiable.
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Mid-Market Companies
Questions This Section Answers
- Which Frase AI Tracking plan should a mid-market buyer choose for multi-engine AI visibility monitoring?
- Is Frase AI Visibility included in the Starter plan or sold as a separate add-on?
The relevant product is the Frase AI Visibility feature on a paid Frase plan, with Starter beginning at $39/month billed yearly and broader monitoring and capacity on Professional and Scale [3]. Frase's own feature page describes buying-stage classification, citation URL and position tracking, competitor share of voice, industry benchmarks, daily monitoring, alerts, geographic targeting, AI crawler logs, and content workflow integration [5].
Engine coverage is plan-gated according to multiple sources. Starter tracks ChatGPT and Google AI; Professional adds Perplexity; Scale adds Claude and Gemini [6]. One independent source lists Perplexity as included in Starter, which conflicts with the tiered description [9]. Frase's own product materials reference monitoring across ChatGPT, Perplexity, Claude, Gemini, Google AI, Grok, Copilot, and DeepSeek, but do not specify which plans include the additional engines [10].
Packaging is the single largest unresolved question. The supplied ranking description refers to an AI-tracking add-on, while the current public Frase pricing page describes AI Visibility as included in paid plans [3]. Frase's help center says AI Visibility is available as an add-on or included in higher tier plans [11], and one Frase page states AI visibility tracking is included at every tier [12]. Buyers should confirm the structure for their specific account before purchase.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Frase AI Tracking does well for mid-market AI visibility use cases?
- Does Frase AI Tracking cover recommendation tracking, citation analysis, and competitor benchmarking?
The strongest agreement concerns the core feature set. Platforms consistently described Frase as tracking brand mentions and citations across major AI engines, comparing share of voice against competitors, and classifying prompts by buying stage. Frase's own materials state that tracked prompts are automatically classified into awareness, consideration, and decision stages with per-stage visibility scores [13]. The platform reports cited page URLs and their positions in citation lists [15], and it measures share of voice against selected competitors while benchmarking competitor mentions [16].
Daily monitoring and alerting drew broad support. Frase states prompts are tracked daily with alerts for visibility changes, brand-name variants, sentiment, and geographic targeting across 40-plus countries [15]. Independent directory coverage confirms monitoring across ChatGPT, Perplexity, Claude, Gemini, and Google AI [18].
Platforms also agreed on the workflow-integration angle. Frase connects AI visibility monitoring directly with content research, writing, and optimization [19], and visibility gaps can be carried into research briefs, drafting, GEO optimization, and publishing [15]. One independent review frames Frase as designed for teams that want AI visibility tracking to live inside the same environment as content production [21].
Pricing accessibility was a shared point. Multiple sources converge on Starter at $39/month billed yearly or $49 month-to-month, Professional at $103/month yearly or $129 monthly, and Scale at $239/month yearly or $299 monthly [22]. Annual billing is discounted by 20% [26].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did one AI platform rate Frase AI Tracking as an uncertain fit for mid-market AI visibility?
- Do AI platforms disagree about Frase AI Tracking's engine coverage and prompt limits?
The most consequential disagreement is whether Frase offers a genuinely competitive AI visibility product at all. One platform concluded that no independent or company source in its available research confirmed Frase offers dedicated, competitive AI visibility monitoring comparable to specialized tools, and rated the fit "uncertain" [27]. That platform's research also noted that Frase marketing materials were not accessible in its search results, so its claims about AI tracking were unverified. This is a research-access limitation as much as a product finding, and it conflicts directly with the six other platforms that retrieved Frase's own AI visibility documentation.
Engine coverage conflicts are unresolved. One independent source states Starter tracks citations only in ChatGPT and Google AI, with Perplexity added at Professional and Claude and Gemini at Scale [29]. Another independent source lists Perplexity as included in Starter [30]. Whether Copilot, Grok, and DeepSeek are available on Scale or reserved for Enterprise is not explicitly stated in the tier comparison tables reviewed [31].
Prompt limits conflict across sources. One platform reported Starter at 50 prompts and 2 engines, Professional at 200 prompts and 3 engines [32]. Another reported Starter at 25 to 50 prompts, Professional at 100 prompts, and Scale at 350 prompts [33]. A third noted the Starter prompt limit is listed as 25 in some comparison charts and 50 in others [33]. Frase's own pricing page does not publish plan-by-plan prompt quotas in the material reviewed [34].
Historical trend depth is inconsistently documented. One platform found that the sources it checked did not clearly document the length or granularity of historical AI-visibility trend data [35]. Another found Frase documents historical trend monitoring over time and stage-coverage reporting [36]. Frase's own materials reference 7-14 day AI re-crawl cycles and 2-4 week visibility improvement timelines, and note that 40-60% of cited sources change month-to-month as models update [37].
Measurement reliability is a shared caveat rather than a disagreement. Independent practitioner discussion highlights nondeterminism in LLM outputs and the need for repeated sampling when interpreting AI-visibility measurements [39]. Frase's public materials do not disclose statistical confidence measures or sampling methodology [40].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Frase AI Tracking support citation analysis and competitor benchmarking for mid-market teams?
- Can Frase AI Tracking turn AI visibility gaps into content actions?
Recommendation tracking is a documented advantage. Frase tracks brand visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI, and automatically classifies tracked prompts into awareness, consideration, and decision stages with per-stage visibility scores [41]. When a brand appears in AI responses, Frase tracks mention frequency and ranking positions within those responses [43].
Citation analysis is URL-level. The platform reports cited page URLs and their positions in citation lists, letting a buyer identify which owned pages are being cited [41]. Frase also logs which AI crawlers access your pages [44]. One limitation: external citations generated in the Write step require manual verification by the content team [45].
Competitor benchmarking covers share of voice, competitor mention benchmarks, and industry citation-rate benchmarks [41]. Frase also publishes weekly industry benchmarking with median comparison, quartile placement, and industry share of voice [47].
Prompt monitoring runs daily with alerts, brand-name variant tracking, sentiment, and geographic targeting across 40-plus countries [41]. The public materials do not clearly specify maximum prompt counts by plan [49].
Actionable reporting is where Frase differentiates. Visibility gaps can be carried into research briefs, drafting, GEO optimization, and publishing workflows [41]. Scale includes client-ready exported reports; white-label reports and a branded portal are positioned for Enterprise [49]. Frase combines AI visibility tracking with SEO/GEO scoring, content research, writing, and publishing to WordPress, Webflow, Sanity, Wix, or FraseCMS [41].
One boundary matters: AI Visibility monitors and alerts but does not automatically fix content. Frase's separate Content Guard workflow concerns Google ranking decay rather than automatic AI-visibility remediation [50].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Frase AI Tracking cost per month, and what do extra seats and overages add?
- What are Frase's cancellation, renewal, and refund terms for a mid-market subscription?
Published plan pricing is consistent across most sources. Starter is $39/month billed yearly or $49 month-to-month; Professional is $103/month yearly or $129 monthly; Scale is $239/month yearly or $299 monthly [51]. Annual billing is discounted by 20% [55]. One platform reported a $45/month monthly figure for the base plan, which conflicts with the $49 figure other sources cite [56].
Additional costs are documented in part. Extra seats on Professional and Scale run $29/month each [57]. FraseCMS Basic and Pro hosting add-ons are $19/month and $99/month respectively [58]. Professional and Scale may incur pay-as-you-go charges for additional audit pages and AI prompts [58]. Exact overage rates for AI Visibility prompts are not clearly itemized in the public pricing summary reviewed [58].
Contract and cancellation terms are only partly public. Yearly billing is discounted by 20%; upgrades are prorated immediately and downgrades take effect at the next billing cycle; a seven-day free trial is available without a credit card [58]. The public materials reviewed do not clearly state refund, renewal-notice, or cancellation-window details [58]. One independent review describes the refund policy as "strict," but no official documentation of a money-back guarantee appears in the sources reviewed [51].
The trial is capped. One source describes the seven-day trial as full feature access capped at 5 articles [59]. Frase's own pricing page states trial quantities are capped at 5 articles, 50 audit pages, 25 AI prompts, and up to 3 seats [58].
Best Suited For
Questions This Section Answers
- Is Frase AI Tracking a good choice for a mid-market company that wants AI visibility and content production in one platform?
- Which mid-market teams get the most value from Frase AI Tracking at the Starter or Professional tier?
Frase AI Tracking is best suited to in-house marketing and content teams that want monitoring and content remediation in one platform [60]. Companies tracking AI visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI fit the documented engine coverage [60]. Teams needing citation-level analysis, competitor share-of-voice comparisons, buying-stage segmentation, and daily alerts without enterprise procurement are the clearest match [60].
The pricing structure favors teams that treat both SEO and AI visibility as core content KPIs and value workflow consolidation [63]. Self-serve entry pricing is materially below many enterprise-oriented suites [64]. A three-person team can start on Professional at roughly $190-$220/month including seat costs, with clear cost predictability [65].
The seven-day trial without a credit card lowers evaluation friction for mid-market buyers [64].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Frase AI Tracking for mid-market AI visibility monitoring?
- Is Frase AI Tracking a poor fit for buyers who need enterprise governance or standalone analytics?
Organizations requiring enterprise-grade SSO/SAML, SLAs, custom API access, white-label reporting, or two years of history are not well served by standard plans; those controls are associated with Enterprise rather than standard tiers [68]. Teams needing very large prompt portfolios or transparent, highly granular prompt quotas before purchase should look elsewhere until quotas are confirmed [68].
Buyers wanting an analytics-only product rather than an integrated content production and publishing platform will find Frase over-specified [68]. Teams that rely heavily on internal or proprietary knowledge sources are also a poor fit: Frase's knowledge base is public-web only and cannot integrate Confluence, Notion, or internal documentation [71].
Independent reviews note the UI is cluttered and requires 2-4 hours of onboarding, which presents adoption risk for lean teams [72]. Single-domain solo creators hitting the Starter 10-article monthly cap regularly will face upgrade friction [69].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Frase AI Tracking for a buyer who needs deeper multi-engine coverage?
- When should a mid-market buyer choose a dedicated AI visibility platform over Frase AI Tracking?
A specialized AI visibility platform may be better when the primary requirement is high-volume prompt analytics, deeper statistical controls, or transparent prompt and historical-data quotas [73]. One platform specifically recommended OptiSEO ($63-$119/month), BeVisible ($79-$99/month), or Mentionlytics AI Visibility ($49/month plus $1.98 per prompt) when dedicated AI visibility monitoring is the primary need [74].
An enterprise SEO or marketing suite may be better when the buyer already standardizes on that ecosystem and needs broader governance, integrations, or procurement controls [73]. One platform noted Semrush includes AI visibility from its Starter plan at $165+/month with compliance features in self-serve form [77].
A lower-cost SEO-first tool may be better when AI visibility is supplementary and the organization does not need multi-engine citation analysis or content workflow integration [73]. One platform noted Surfer SEO offers superior NLP analysis and Content Editor precision, with the trade-off of higher price at $99+/month and less integrated AI tracking [78].
Buyers needing deep, independently verified citation analysis, historical trend depth, or enterprise-grade benchmarking should treat Frase as a pilot-worthy candidate rather than a confirmed best fit [79]. Buyers requiring documented SLAs, certifications, or enterprise support terms should evaluate enterprise-oriented options [79].
Questions to Verify Before Buying
Questions This Section Answers
- What should a mid-market buyer confirm with Frase before signing a contract?
- Which Frase AI Tracking limits and terms are not publicly documented?
Is AI Visibility included in the selected plan for this account, or is a separate add-on still required [80]? How many prompts, brands, competitors, sites, countries, and AI engines are included at the selected tier [80]? What are the exact historical-retention limits and export formats for prompt, citation, competitor, and trend data [80]?
What are the AI-prompt overage rates, billing triggers, and spend controls [80]? Does the plan support the required users, sites, workspaces, API access, and reporting permissions [80]? How does Frase handle repeated sampling, model-result variance, deduplication, and changes in AI-engine availability [85]?
Are citation positions, cited URLs, sentiment, and competitor share-of-voice available consistently across every supported engine [80]? What are the cancellation, renewal, refund, and annual-contract terms [80]? Can the seven-day trial use the buyer's actual prompt set and export enough results for a meaningful evaluation [80]?
Final AI Consensus Verdict
Frase AI Tracking is a good fit for mid-market companies that want AI search monitoring combined with SEO/GEO content workflows and self-serve pricing. Five of seven platforms rated the fit "good," one rated it "mixed," and one rated it "uncertain." The strongest documented case rests on citation-level tracking, competitor share-of-voice benchmarking, buying-stage prompt classification, daily alerts, and an integrated content workflow starting at $39/month billed yearly [88].
It is not clearly the best choice for high-volume, analytics-first, or enterprise-governed buyers until prompt quotas, historical data, methodology, and add-on terms are confirmed [91]. The unresolved packaging conflict — add-on versus included — is the single most important item to settle before purchase [91]. Buyers should also weigh the public-web-only knowledge base and the manual citation verification step in the Write workflow [95].
Platform agreement on a feature set does not prove product quality. Most substantive feature claims in this review are company-reported, and independent validation of Frase's reported accuracy, benchmark methodology, or customer outcomes was not established in the supplied research.
How This Review Was Produced
This review was produced from seven AI platform fit-research responses collected for the run research date of 2026-09-19. Each platform independently evaluated Frase AI Tracking against the mid-market AI visibility use case, covering recommendation tracking, citation analysis, competitor benchmarking, prompt monitoring, historical trends, and actionable reporting. Two platforms named the entity during ranking discovery; all seven returned fit assessments.
Platform-reported research dates differ from the authoritative run date. Six platforms reported 2026-09-19; one platform reported 2026-06-11 (deepseek). Platform-reported dates are provenance metadata and do not independently prove freshness.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied catalog, so company claims are not described here as independently verified. One platform's research ran without search enabled, so its claims require explicit verification before being treated as current facts.
Methodology Limitations
Platform mentions count only platforms that named the entity during ranking discovery, not platforms that evaluated fit. The 28.6% share reflects two of seven included platform responses.
Public pricing and packaging for Frase AI Visibility are inconsistent across Frase-owned pages and third-party summaries. This review describes the conflict rather than resolving it. Prompt quotas, historical retention by plan, and exact AI-visibility overage rates are not clearly published in the material reviewed.
Independent evidence reviewed mainly supports the general limitation that LLM outputs can vary; independent validation of Frase's reported accuracy, benchmark methodology, or customer outcomes was not established. Reported visibility can vary because generative AI outputs are nondeterministic, and public materials reviewed do not establish confidence intervals or sampling controls.
One platform's research ran without search enabled and could not access Frase marketing materials, which limits the weight of its "uncertain" rating. Another platform's research date predates the run date by roughly three months.
See the broader AI Visibility Platforms for Mid-Market Companies consensus index for comparisons across qualified options.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Frase - AI SEO & GEO Operating System: https://1234.cms.frase.io/pricing
- AI Visibility Software for Brand Monitoring | BeVisible: https://bevisible.app/ai-visibility-software
- AI Visibility | Frase Crash Course: https://docs.frase.io/advanced/ai-visibility
- AI Visibility & GEO | Frase Crash Course: https://docs.frase.io/ai-visibility-geo
- AI Visibility & GEO - Quickstart | Frase Crash Course: https://docs.frase.io/core-workflows/ai-visibility-and-geo
- Frase features AI tracking: https://frase.io/features/ai-tracking
- AI Visibility Scanner | Georion: https://georion.app/tools/paid/scanner
- AI Visibility & Search Tracking: https://help.frase.io/article/218-ai-visibility
- AI Visibility Dashboard - OptiSEO: https://optiseo.com/ai-visibility-dashboard/
- Visibility Tracker — See Every AI Answer | Viali: https://viali.ai/product/visibility-tracking/
- SE Visible — An AI Visibility Tool: https://visible.seranking.com/
- The Content Operating System for AI Search: https://www.frase.io
- Frase AI Visibility / AI Tracking: https://www.frase.io/ai-tracking
- Weekly Industry Benchmarking - Frase: https://www.frase.io/ai-visibility-benchmarks
- AI Visibility Tracking: Monitor AI Mentions & Citations - Frase: https://www.frase.io/ai-visibility-tracking
- AI Visibility Tracking Features: https://www.frase.io/ai-visibility-tracking-features
- Master AI Search Tracking for Brand Visibility Across AI Engines | Frase: https://www.frase.io/blog/ai-search-tracking-monitor-your-visibility-across-ai-engines
- Content Optimization Is Dead. Here's What Replaced It (2026) | Frase: https://www.frase.io/blog/content-optimization-is-dead
- Mastering AI Citations: The Ultimate GEO Playbook | Frase: https://www.frase.io/blog/how-to-get-cited-by-ai-search-engines-the-complete-geo-playbook
- AI Visibility Tracking: Monitor AI Mentions & Citations | Frase: https://www.frase.io/features/ai-visibility
- Content Guard | Catch Content Decay & Draft the Fix — Frase: https://www.frase.io/features/content-guard
- Frase plans and pricing: https://www.frase.io/pricing
- SEO + GEO + AI Tracking from $45/mo | Frase Pricing | Frase.io: https://www.frase.io/pricing?via=richard16
- One Platform, The Whole Loop: https://www.frase.io/vs/otterly
- Complete Guide to AI Visibility in 2026 - Frase: https://www.frase.io/what-is-ai-visibility
- AI Brand Visibility Tool - See What AI Says About You: https://www.mentionlytics.com/product/ai-visibility/
- Official pricing and terms source: https://www.frase.io/company/terms
Additional AI research evidence96 records
- AI research evidence record deepseek:c1
- AI research evidence record kimi:optiseo-2024
- AI research evidence record openai:c2
- AI research evidence record anthropic:23-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:17-10
- AI research evidence record google:2.1.3
- AI research evidence record google:2.1.5
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:31-6
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:13-1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:30-3
- AI research evidence record anthropic:30-22
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:34-11
- AI research evidence record openai:c2
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:2-8
- AI research evidence record google:1.4.4
- AI research evidence record grok:3
- AI research evidence record anthropic:23-13
- AI research evidence record kimi:optiseo-2024
- AI research evidence record kimi:bevisible-2024
- AI research evidence record anthropic:17-10
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:31-6
- AI research evidence record grok:3
- AI research evidence record google:1.4.4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:33-4
- AI research evidence record anthropic:32-8
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:15-10
- AI research evidence record google:1.3.6
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:30-3
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:30-22
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:2-8
- AI research evidence record google:1.4.4
- AI research evidence record grok:3
- AI research evidence record anthropic:23-13
- AI research evidence record kimi:optiseo-2024
- AI research evidence record anthropic:23-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-12
- AI research evidence record openai:c1
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:36-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:5-12
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:26-7
- AI research evidence record anthropic:26-12
- AI research evidence record openai:c2
- AI research evidence record kimi:optiseo-2024
- AI research evidence record kimi:bevisible-2024
- AI research evidence record kimi:mentionlytics-2024
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:3-18
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c11
- AI research evidence record grok:3
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-7
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-12
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:30-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-7
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:26-7
- AI research evidence record anthropic:5-3
Independent Sources
- Frase: AI Content and GEO Platform With Tiered AI Citation Tracking: https://aishortcutlab.com/frase-ai-content-geo-platform
- Frase: AI Content and GEO Platform With Tiered AI Citation: https://aishortcutlab.com/tools/frase-io
- 5 Best AI Visibility Tools for Enterprises in 2026 - AiTLAS: https://aitlas.com/best-ai-visibility-tools-enterprise
- Frase.io Review 2026: Honest Findings From Our Hands-On Test | Daily AI Reviews: https://dailyaireviews.com/frase-io-review-2026/
- Frase Pricing 2026: https://getpulsesignal.com/pricing/frase
- maxaeo vs Frase: Which Is Better for AI Visibility Tracking in 2026? - MaxAEO Blog: https://maxaeo.ai/blog/maxaeo-vs-frase-which-is-better-for-ai-visibility-tracking-in-2026/
- Frase review: https://stackology.io/ai-tools/frase
- Frase review: https://theanswerenginereport.com/tools/frase
- Frase.io Review 2026: The One Feature That Justifies the Price - ToolsBrief: https://toolsbrief.org/frase-io-review-2026/
- What Is Frase? SEO, GEO & AI Visibility Platform - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/frase
- Is Frase Good for AI Search Visibility? What Marketers Should Check | Brand Armor AI: https://www.brandarmor.ai/alternatives/is-frase-good
- Frase Review – Features, Pricing and Alternatives: https://www.g2.com/products/frase/reviews
- Frase Pricing & Plans: Full Breakdown 2026: https://www.hyperwriteai.com/blog/frase-pricing
- Best AI Visibility Tracking Tools (2026: https://www.integrate.io/blog/best-ai-visibility-tracking-tools
- Which AI citation tracking software actually works for brand monitoring?: https://www.reddit.com/r/GEO__AI__SEO/comments/1r3kez5/which_ai_citation_tracking_software_actually/
- Frase.io Review: AI Content Optimization Tool Testing (2026: https://www.stackmatix.com/blog/frase-io-review
- Top Alternatives to Frase.io for AI Content Optimization & GEO in 2026: https://xseek.ai/blog/frase-alternatives
- Frase Review 2026: Is It Worth $45/Month for SEO?: https://youraisoft.com/frase-review/
Additional AI research evidence96 records
- AI research evidence record deepseek:c1
- AI research evidence record kimi:optiseo-2024
- AI research evidence record openai:c2
- AI research evidence record anthropic:23-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:17-10
- AI research evidence record google:2.1.3
- AI research evidence record google:2.1.5
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:31-6
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:13-1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:30-3
- AI research evidence record anthropic:30-22
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:34-11
- AI research evidence record openai:c2
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:2-8
- AI research evidence record google:1.4.4
- AI research evidence record grok:3
- AI research evidence record anthropic:23-13
- AI research evidence record kimi:optiseo-2024
- AI research evidence record kimi:bevisible-2024
- AI research evidence record anthropic:17-10
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:31-6
- AI research evidence record grok:3
- AI research evidence record google:1.4.4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:33-4
- AI research evidence record anthropic:32-8
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:15-10
- AI research evidence record google:1.3.6
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:30-3
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:30-22
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:2-8
- AI research evidence record google:1.4.4
- AI research evidence record grok:3
- AI research evidence record anthropic:23-13
- AI research evidence record kimi:optiseo-2024
- AI research evidence record anthropic:23-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-12
- AI research evidence record openai:c1
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:36-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:5-12
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:26-7
- AI research evidence record anthropic:26-12
- AI research evidence record openai:c2
- AI research evidence record kimi:optiseo-2024
- AI research evidence record kimi:bevisible-2024
- AI research evidence record kimi:mentionlytics-2024
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:3-18
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c11
- AI research evidence record grok:3
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-7
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-12
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:30-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-7
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:26-7
- AI research evidence record anthropic:5-3
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 19, 2026
- Platforms analyzed
- 7
- Source records
- 46
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #9
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
18 independent · 28 company-owned
Evidence support
38 direct · 8 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 f93e62053c6e286d0f5f81b8e56cb9a1fd873cf86c3c364ecc22aa6903087450